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Authors: Przemyslaw Buczkowski 1 ; Antoni Sobkowicz 2 and Marek Kozlowski 3

Affiliations: 1 National Information Processing Institute and Warsaw University of Technology, Poland ; 2 Warsaw University of Technology, Poland ; 3 National Information Processing Institute, Poland

ISBN: 978-989-758-276-9

Keyword(s): Image Classification, Convolutional Neural Networks, Pattern Recognition, Deep Learning, Machine Learning, Supervised Learning, Artificial Intelligence.

Related Ontology Subjects/Areas/Topics: Applications ; Classification ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image Understanding ; Image-Based Modeling ; Pattern Recognition ; Software Engineering ; Theory and Methods

Abstract: Machine learning methods allow computers to use data in less and less structured form. Such data formats were available only to humans until now. This in turn gives opportunities to automate new areas. Such systems can be used for supporting administration of big e-commerce platforms e.g. searching for products with inadequate descriptions. In this paper, we continue to try to extract information about books, but we changed the domain of our predictions. Now we try to make guesses about a book based on an actual cover image instead of short textual description. We compare how much information about the book can be extracted from those sources and describe in detail our model and methodology. Promising results were achieved.

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Paper citation in several formats:
Buczkowski, P.; Sobkowicz, A. and Kozlowski, M. (2018). Deep Learning Approaches towards Book Covers Classification.In Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-276-9, pages 309-316. DOI: 10.5220/0006556103090316

@conference{icpram18,
author={Przemyslaw Buczkowski. and Antoni Sobkowicz. and Marek Kozlowski.},
title={Deep Learning Approaches towards Book Covers Classification},
booktitle={Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2018},
pages={309-316},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006556103090316},
isbn={978-989-758-276-9},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Deep Learning Approaches towards Book Covers Classification
SN - 978-989-758-276-9
AU - Buczkowski, P.
AU - Sobkowicz, A.
AU - Kozlowski, M.
PY - 2018
SP - 309
EP - 316
DO - 10.5220/0006556103090316

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